Published

2018-07-01

An alternative method to improve gravity field models by incorporating GOCE gradient data

Método alternativo para mejorar los modelos de campo gravitacional al incorporar información del satélite Explorador de la Circulación Oceánica y de Gravedad

DOI:

https://doi.org/10.15446/esrj.v22n3.64666

Keywords:

Gravity gradients, Model modification, Radial gravity gradient, Noise processing (en)
gradiente gravitacional, modificación de modelos, gradiente gravitacional radial, procesamiento de ruido (es)

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Authors

  • Xiaoyun Wan
  • Jiangjun Ran

The aim of this paper is to present an alternative method that can be used to improve existing gravity field models via the application of gradient data from Gravity field and Ocean Circulation Explorer (GOCE). First, the proposed algorithm used to construct the observation equation is presented. Then methods for noise processing in both time and space domains aimed at reducing noises are introduced. As an example, the European Improved Gravity model of the Earth by New techniques (EIGEN5C) is modified with gradient observations over the whole lifetime of the GOCE, leading to a new gravity field model named as EGMGOCE (Earth Gravitational Model of GOCE). The results show that the cumulative geoid difference between EGMGOCE and EGM08 is reduced by 4 centimeters compared with that between EIGEN5C and Earth Gravitational Model 2008 (EGM08) up to 200 degrees. The large geoid differences between EGMGOCE and EIGEN5C mainly exist in Africa, South America, Antarctica and Himalaya, which indicates the contribution from GOCE. Compared to the newest GOCE gravity field model resolved by direct method from European Space Agency (ESA), the cumulative geoid difference is reduced by 7 centimeters up to 200 degrees. 

El objetivo de este trabajo es presentar un método alternativo que sea usable para mejorar los modelos de campo gravitacional existentes a través de la aplicación de la información de gradiente ofrecida por el satélite Explorador de la Circulación Oceánica y de Gravedad (GOCE, del inglés Gravity field and Ocean Circulation Explorer). Primero, se presenta el algoritmo propuesto para la construcción de la ecuación de observación. Luego se introducen los métodos para el procesamiento y reducción del ruido tanto en el tiempo como en el espacio. Por ejemplo, el Modelo Europeo Mejorado de Gravedad a través de Técnicas Nuevas (EIGEN5C, del inglés European Improved Gravity model of the Earth by New techniques) se modificó con las observaciones de gradiente del satélite GOCE, en órbita desde marzo de 2009, lo que condujo a un nuevo modelo gravitacional llamado EGMGOCE (Modelo Gravitacional Terrestre del GOCE). Los resultados muestran que la diferencia geoidal acumulada entre el modelo EGMGOCE y el Modelo Gravitacional Terrestre de 2008 (EGM08) se reduce en cuatro centímetros a comparación de la diferencia geoidal entre el EIGEN5C y el EGM08, por encima de los 200 grados. Las mayores diferencias geoidales entre el EGMGOCE y el EIGEN5C se presentan principalmente en África, Suramérica, la Antártica y el Himalaya, lo que muestra la contribución del GOCE. Comparado con el más reciente modelo gravitacional GOCE resuelto a través del método directo por la Agencia Espacial Europea (ESA), la diferencia geoidal se reduce en 7 centímetros por encima de 200 grados.

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How to Cite

APA

Wan, X. and Ran, J. (2018). An alternative method to improve gravity field models by incorporating GOCE gradient data. Earth Sciences Research Journal, 22(3), 187–193. https://doi.org/10.15446/esrj.v22n3.64666

ACM

[1]
Wan, X. and Ran, J. 2018. An alternative method to improve gravity field models by incorporating GOCE gradient data. Earth Sciences Research Journal. 22, 3 (Jul. 2018), 187–193. DOI:https://doi.org/10.15446/esrj.v22n3.64666.

ACS

(1)
Wan, X.; Ran, J. An alternative method to improve gravity field models by incorporating GOCE gradient data. Earth sci. res. j. 2018, 22, 187-193.

ABNT

WAN, X.; RAN, J. An alternative method to improve gravity field models by incorporating GOCE gradient data. Earth Sciences Research Journal, [S. l.], v. 22, n. 3, p. 187–193, 2018. DOI: 10.15446/esrj.v22n3.64666. Disponível em: https://revistas.unal.edu.co/index.php/esrj/article/view/64666. Acesso em: 17 may. 2024.

Chicago

Wan, Xiaoyun, and Jiangjun Ran. 2018. “An alternative method to improve gravity field models by incorporating GOCE gradient data”. Earth Sciences Research Journal 22 (3):187-93. https://doi.org/10.15446/esrj.v22n3.64666.

Harvard

Wan, X. and Ran, J. (2018) “An alternative method to improve gravity field models by incorporating GOCE gradient data”, Earth Sciences Research Journal, 22(3), pp. 187–193. doi: 10.15446/esrj.v22n3.64666.

IEEE

[1]
X. Wan and J. Ran, “An alternative method to improve gravity field models by incorporating GOCE gradient data”, Earth sci. res. j., vol. 22, no. 3, pp. 187–193, Jul. 2018.

MLA

Wan, X., and J. Ran. “An alternative method to improve gravity field models by incorporating GOCE gradient data”. Earth Sciences Research Journal, vol. 22, no. 3, July 2018, pp. 187-93, doi:10.15446/esrj.v22n3.64666.

Turabian

Wan, Xiaoyun, and Jiangjun Ran. “An alternative method to improve gravity field models by incorporating GOCE gradient data”. Earth Sciences Research Journal 22, no. 3 (July 1, 2018): 187–193. Accessed May 17, 2024. https://revistas.unal.edu.co/index.php/esrj/article/view/64666.

Vancouver

1.
Wan X, Ran J. An alternative method to improve gravity field models by incorporating GOCE gradient data. Earth sci. res. j. [Internet]. 2018 Jul. 1 [cited 2024 May 17];22(3):187-93. Available from: https://revistas.unal.edu.co/index.php/esrj/article/view/64666

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2. Yuan Fang, Shuiyuan He, Xiaohong Meng, Jun Wang, Yongkang Gan, Hanhan Tang. (2021). A Fast Method for Calculation of Marine Gravity Anomaly. Applied Sciences, 11(3), p.1265. https://doi.org/10.3390/app11031265.

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